The datasets we use are CUB200-2011[1]} and NA-Birds[2]} two fine-grained bird identification datasets. The CUB200-2011 dataset has a total of 200 bird categories, including 5,994 training images and 5,794 testing data. Each category contains about 30 training data. NA-Birds has 555 bird species, 23,929 training images and 24,633 test images. Both datasets provide image-level annotations and keypoint locations, but only image-level annotations will be used in this paper.
